Optimal HMM filtering and decision feedback equalisation for differential encoded transmission systems
Ford, Jason J. & Moore, John B. (1998) Optimal HMM filtering and decision feedback equalisation for differential encoded transmission systems. In Jain, L.C. & Jain, R.K. (Eds.) Proceedings of Second International Conference on Knowledge-Based Intelligent Electronic Systems, 1998, IEEE, Adelaide, Australia, pp. 156-164.
In this paper conditional hidden Markov model (HMM) filters and conditional Kalman filters (KF) are coupled together to improve demodulation of differential encoded signals in noisy fading channels. We present an indicator matrix representation for differential encoded signals and the optimal HMM filter for demodulation. The filter requires O(N3) calculations per time iteration, where N is the number of message symbols. Decision feedback equalisation is investigated via coupling the optimal HMM filter for estimating the message, conditioned on estimates of the channel parameters, and a KF for estimating the channel states, conditioned on soft information message estimates. The particular differential encoding scheme examined in this paper is differential phase shift keying. However, the techniques developed can be extended to other forms of differential modulation. The channel model we use allows for multiplicative channel distortions and additive white Gaussian noise. Simulation studies are also presented.
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|Item Type:||Conference Paper|
|Subjects:||Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > ELECTRICAL AND ELECTRONIC ENGINEERING (090600) > Control Systems Robotics and Automation (090602)|
|Divisions:||Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
|Copyright Owner:||Copyright 1998 IEEE|
|Deposited On:||30 Oct 2014 23:48|
|Last Modified:||30 Oct 2014 23:49|
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